{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "高中体测数据可视化（体测分数_男生，体测分数_女生）【数据见作业附件】\n",
    "\n",
    "1、对男1000米跑、男引体分数进行等宽分箱操作，分成3份，并使用饼图绘制百分比\n",
    "\n",
    "2、对女800米跑、女跳远进行直方图绘制统计各分数段人数，分成4份\n",
    "\n",
    "3、使用嵌套饼图对比男女生体重指数BMI进行比例统计，分为正常、低体重、超重、肥胖\n",
    "\n",
    "BMI评分表:\n",
    "```\n",
    "              男生\t      女生\n",
    "   低体重:     <=16.4\t    <=16.4\n",
    "   正常: \t 16.5~23.2\t 16.5~22.7\n",
    "   超重: \t 23.3~26.3\t 22.8~25.2\n",
    "   肥胖: \t >=26.4\t    >=25.3\n",
    "```\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt \n",
    "plt.rcParams['font.family'] = 'Heiti TC' # 全局设置\n",
    "plt.rcParams['font.size'] = 18\n",
    "\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 477 entries, 0 to 476\n",
      "Data columns (total 17 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   班级         477 non-null    int64  \n",
      " 1   性别         477 non-null    object \n",
      " 2   男1000米跑    477 non-null    float64\n",
      " 3   男1000米跑分数  477 non-null    int64  \n",
      " 4   男50米跑      477 non-null    float64\n",
      " 5   男50米跑分数    477 non-null    int64  \n",
      " 6   男跳远        477 non-null    int64  \n",
      " 7   男跳远分数      477 non-null    int64  \n",
      " 8   男体前屈       477 non-null    int64  \n",
      " 9   男体前屈分数     477 non-null    int64  \n",
      " 10  男引体        477 non-null    int64  \n",
      " 11  男引体分数      477 non-null    int64  \n",
      " 12  男肺活量       477 non-null    int64  \n",
      " 13  男肺活量分数     477 non-null    int64  \n",
      " 14  身高         477 non-null    int64  \n",
      " 15  体重         477 non-null    float64\n",
      " 16  BMI        477 non-null    float64\n",
      "dtypes: float64(4), int64(12), object(1)\n",
      "memory usage: 63.5+ KB\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>72</td>\n",
       "      <td>8.88</td>\n",
       "      <td>66</td>\n",
       "      <td>195</td>\n",
       "      <td>60</td>\n",
       "      <td>12</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2785</td>\n",
       "      <td>62</td>\n",
       "      <td>170</td>\n",
       "      <td>72.599998</td>\n",
       "      <td>25.120001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>70</td>\n",
       "      <td>7.70</td>\n",
       "      <td>78</td>\n",
       "      <td>225</td>\n",
       "      <td>74</td>\n",
       "      <td>11</td>\n",
       "      <td>74</td>\n",
       "      <td>7</td>\n",
       "      <td>60</td>\n",
       "      <td>3133</td>\n",
       "      <td>68</td>\n",
       "      <td>174</td>\n",
       "      <td>52.700001</td>\n",
       "      <td>17.410000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>74</td>\n",
       "      <td>8.45</td>\n",
       "      <td>70</td>\n",
       "      <td>218</td>\n",
       "      <td>70</td>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3901</td>\n",
       "      <td>80</td>\n",
       "      <td>169</td>\n",
       "      <td>46.500000</td>\n",
       "      <td>16.280001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>68</td>\n",
       "      <td>8.05</td>\n",
       "      <td>74</td>\n",
       "      <td>206</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4946</td>\n",
       "      <td>100</td>\n",
       "      <td>183</td>\n",
       "      <td>79.699997</td>\n",
       "      <td>23.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>85</td>\n",
       "      <td>7.52</td>\n",
       "      <td>78</td>\n",
       "      <td>210</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>9</td>\n",
       "      <td>68</td>\n",
       "      <td>3538</td>\n",
       "      <td>74</td>\n",
       "      <td>171</td>\n",
       "      <td>54.700001</td>\n",
       "      <td>18.709999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  男引体  \\\n",
       "0   1  男     4.13         72   8.88       66  195     60    12      74    1   \n",
       "1   1  男     4.16         70   7.70       78  225     74    11      74    7   \n",
       "2   1  男     4.09         74   8.45       70  218     70    14      78    1   \n",
       "3   1  男     4.21         68   8.05       74  206     64    13      76    1   \n",
       "4   1  男     3.44         85   7.52       78  210     66    13      76    9   \n",
       "\n",
       "   男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  \n",
       "0      0  2785      62  170  72.599998  25.120001  \n",
       "1     60  3133      68  174  52.700001  17.410000  \n",
       "2      0  3901      80  169  46.500000  16.280001  \n",
       "3      0  4946     100  183  79.699997  23.799999  \n",
       "4     68  3538      74  171  54.700001  18.709999  "
      ]
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     "execution_count": 2,
     "metadata": {},
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    },
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     "name": "stdout",
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 593 entries, 0 to 592\n",
      "Data columns (total 17 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   班级        593 non-null    int64  \n",
      " 1   性别        593 non-null    object \n",
      " 2   女800米跑    593 non-null    float64\n",
      " 3   女800米跑分数  593 non-null    int64  \n",
      " 4   女50米跑     593 non-null    float64\n",
      " 5   女50米跑分数   593 non-null    int64  \n",
      " 6   女跳远       593 non-null    int64  \n",
      " 7   女跳远分数     593 non-null    int64  \n",
      " 8   女体前屈      593 non-null    int64  \n",
      " 9   女体前屈分数    593 non-null    int64  \n",
      " 10  女仰卧       593 non-null    int64  \n",
      " 11  女仰卧分数     593 non-null    int64  \n",
      " 12  女肺活量      593 non-null    int64  \n",
      " 13  女肺活量分数    593 non-null    int64  \n",
      " 14  身高        593 non-null    float64\n",
      " 15  体重        593 non-null    float64\n",
      " 16  BMI       593 non-null    float64\n",
      "dtypes: float64(5), int64(11), object(1)\n",
      "memory usage: 78.9+ KB\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>女肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>100</td>\n",
       "      <td>9.32</td>\n",
       "      <td>72</td>\n",
       "      <td>185</td>\n",
       "      <td>85</td>\n",
       "      <td>16</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>85</td>\n",
       "      <td>3775</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>51.299999</td>\n",
       "      <td>19.309999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>40</td>\n",
       "      <td>11.44</td>\n",
       "      <td>10</td>\n",
       "      <td>148</td>\n",
       "      <td>60</td>\n",
       "      <td>9</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>66</td>\n",
       "      <td>3683</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.599998</td>\n",
       "      <td>25.070000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>80</td>\n",
       "      <td>13.40</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>60</td>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>40</td>\n",
       "      <td>76</td>\n",
       "      <td>3331</td>\n",
       "      <td>100</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>24.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>85</td>\n",
       "      <td>9.52</td>\n",
       "      <td>70</td>\n",
       "      <td>172</td>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>3701</td>\n",
       "      <td>100</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.700001</td>\n",
       "      <td>19.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>80</td>\n",
       "      <td>9.79</td>\n",
       "      <td>68</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "      <td>64</td>\n",
       "      <td>34</td>\n",
       "      <td>70</td>\n",
       "      <td>3592</td>\n",
       "      <td>100</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.900002</td>\n",
       "      <td>22.910000</td>\n",
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      ],
      "text/plain": [
       "   班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  女仰卧  \\\n",
       "0   1  女    3.22       100   9.32       72  185     85    16      76   48   \n",
       "1   1  女    4.59        40  11.44       10  148     60     9      66   29   \n",
       "2   1  女    3.46        80  13.40        0  150     60     7      64   40   \n",
       "3   1  女    3.39        85   9.52       70  172     76    21      90   46   \n",
       "4   1  女    3.43        80   9.79       68  145     50     8      64   34   \n",
       "\n",
       "   女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI  \n",
       "0     85  3775     100  163.0  51.299999  19.309999  \n",
       "1     66  3683     100  163.0  66.599998  25.070000  \n",
       "2     76  3331     100  157.0  60.000000  24.340000  \n",
       "3     85  3701     100  160.0  50.700001  19.799999  \n",
       "4     70  3592     100  167.0  63.900002  22.910000  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grades_male = pd.read_excel('体测分数_男生.xls')\n",
    "grades_male.info()\n",
    "grades_male.head()\n",
    "\n",
    "grades_female = pd.read_excel('体测分数_女生.xls')\n",
    "grades_female.info()\n",
    "grades_female.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 男1000米跑分数\n",
    "- 等寬分箱: `pd.cut`\n",
    "- 使用饼图绘制百分比: `plt.pie`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(66.667, 100.0]     380\n",
       "(33.333, 66.667]     68\n",
       "(-0.1, 33.333]       29\n",
       "Name: 男1000米跑分数, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grades_cut = pd.cut(grades_male['男1000米跑分数'], bins=3).value_counts()\n",
    "display(grades_cut)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "plt.pie(grades_cut.values,\n",
    "        labels=grades_cut.index,\n",
    "        autopct='%0.2f%%',\n",
    "        explode=[0.15,0,0],\n",
    "        shadow=True)\n",
    "plt.title('男1000米跑分数')\n",
    "plt.show();\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 男引体分数\n",
    "- 等寬分箱: `pd.cut`\n",
    "- 使用饼图绘制百分比: `plt.pie`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(66.667, 100.0]     219\n",
       "(33.333, 66.667]    137\n",
       "(-0.1, 33.333]      121\n",
       "Name: 男引体分数, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grades_cut = pd.cut(grades_male['男引体分数'], bins=3).value_counts()\n",
    "display(grades_cut)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "plt.pie(grades_cut.values,\n",
    "            labels=grades_cut.index,\n",
    "            autopct='%0.2f%%',\n",
    "            explode=[0.1,0,0],\n",
    "            shadow=True)\n",
    "plt.title('男引体分数')\n",
    "plt.show();\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 女800米跑分数\n",
    "- 直方圖"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(75.0, 100.0]    384\n",
       "(50.0, 75.0]     147\n",
       "(-0.1, 25.0]      37\n",
       "(25.0, 50.0]      25\n",
       "Name: 女800米跑分数, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "col = '女800米跑分数'\n",
    "display(pd.cut(grades_female[col], bins=4).value_counts())\n",
    "\n",
    "plt.figure(figsize=(8, 4))\n",
    "count, bins, fig = plt.hist(grades_female[col], bins=4)\n",
    "plt.title(col)\n",
    "plt.show();\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 女跳远\n",
    "- 直方圖"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50.0, 75.0]     413\n",
       "(75.0, 100.0]    148\n",
       "(-0.1, 25.0]      19\n",
       "(25.0, 50.0]      13\n",
       "Name: 女跳远分数, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "col = '女跳远分数'\n",
    "display(pd.cut(grades_female[col], bins=4).value_counts())\n",
    "\n",
    "plt.figure(figsize=(8, 4))\n",
    "count, bins, fig = plt.hist(grades_female[col], bins=4)\n",
    "plt.title(col)\n",
    "plt.show();\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 对比男女生体重指数 BMI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "bmi_standard_male = [0, 16.4, 23.2, 26.3]\n",
    "bmi_standard_female = [0, 16.4, 22.7, 25.2]\n",
    "bmi_labels = ['低体重', '正常', '超重', '肥胖']\n",
    "\n",
    "def bmi_labeling(df, col, standard, choice_list):\n",
    "    cond_list = [\n",
    "        df[col].between(standard[0], standard[1]),\n",
    "        df[col].between(standard[1], standard[2]),\n",
    "        df[col].between(standard[2], standard[3]),\n",
    "        df[col] >= standard[3]\n",
    "    ]\n",
    "    df[f'{col}_label'] = np.select(condlist=cond_list, choicelist=choice_list, default=-1)\n",
    "    display(df[f'{col}_label'].value_counts())\n",
    "    return df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "男生体重指数 BMI 分布：\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "正常     354\n",
       "超重      61\n",
       "肥胖      38\n",
       "低体重     24\n",
       "Name: BMI_label, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "女生体重指数 BMI 分布：\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "正常     441\n",
       "超重      85\n",
       "肥胖      52\n",
       "低体重     15\n",
       "Name: BMI_label, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "全體体重指数 BMI 分布：\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "正常     795\n",
       "超重     146\n",
       "肥胖      90\n",
       "低体重     39\n",
       "Name: BMI_label, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "795"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('男生体重指数 BMI 分布：')\n",
    "grades_male = bmi_labeling(df=grades_male, col='BMI', standard=bmi_standard_male, choice_list=bmi_labels)\n",
    "print()\n",
    "print('女生体重指数 BMI 分布：')\n",
    "grades_female = bmi_labeling(df=grades_female, col='BMI', standard=bmi_standard_female, choice_list=bmi_labels)\n",
    "\n",
    "print()\n",
    "print('全體体重指数 BMI 分布：')\n",
    "total_counts = grades_male['BMI_label'].value_counts() + grades_female['BMI_label'].value_counts()\n",
    "display(total_counts)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(441, '女'),\n",
       " (354, '男'),\n",
       " (85, '女'),\n",
       " (61, '男'),\n",
       " (52, '女'),\n",
       " (38, '男'),\n",
       " (15, '女'),\n",
       " (24, '男')]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "separate_gender_bmi_label = list()\n",
    "for i in range(4):\n",
    "    separate_gender_bmi_label.append((grades_female['BMI_label'].value_counts()[i], '女'))\n",
    "    separate_gender_bmi_label.append((grades_male['BMI_label'].value_counts()[i], '男'))\n",
    "    \n",
    "display(separate_gender_bmi_label)\n",
    "\n",
    "counts_separate_gender_bmi = [item[0] for item in separate_gender_bmi_label]\n",
    "label_separate_gender = [item[1] for item in separate_gender_bmi_label]\n",
    "\n",
    "plt.figure(figsize=(15, 15))\n",
    "plt.pie(counts_separate_gender_bmi, radius=0.8,\n",
    "        autopct='%0.2f%%',\n",
    "        pctdistance=0.95,\n",
    "        labels = label_separate_gender,\n",
    "        wedgeprops={'linewidth': 3,\n",
    "                    'width': 0.2,\n",
    "                    'edgecolor': 'white'}, \n",
    "        textprops={'fontsize': 14})\n",
    "plt.pie(total_counts,\n",
    "        radius=0.45,\n",
    "        autopct='%0.2f%%',\n",
    "        pctdistance=0.5,\n",
    "        labels = total_counts.index,  \n",
    "        wedgeprops={'linewidth': 3,\n",
    "                    'width': 0.45,\n",
    "                    'edgecolor':'white'}, \n",
    "        textprops={'fontsize': 14})\n",
    "plt.title('男女生体重指数 BMI 比例分佈')\n",
    "plt.show();\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### 可看出在低体重部分男生较多、超重和肥胖部分则是女生比例较高；应多注意女生 BMI 超出标准的情形\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
